Hata-Yanagiya 体力活动计算系统:一种基于全球定位系统的新方法,用于准确估算步行和跑步时的耗氧量。

IF 2.6 Q2 SPORT SCIENCES Frontiers in Sports and Active Living Pub Date : 2025-01-10 eCollection Date: 2024-01-01 DOI:10.3389/fspor.2024.1522214
Keiichiro Hata, Toshio Yanagiya, Hiroaki Noro, Yoshio Suzuki
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摘要

马拉松在业余运动员中越来越受欢迎,他们中的许多人保持着8-9公里/小时的速度。然而,现有的估算跑步和步行过程中耗氧量(VO2)的方法——比如美国运动医学学院(ACSM)方程和商业活动监测仪——往往缺乏准确性和透明度。本研究介绍了一种利用全球定位系统(GPS)和地图数据估算VO2的新方法——Hata-Yanagiya Physical Activity Calculation (HYPAC)系统。方法:基于代谢当量(METs)和斜率数据,通过回归方程建立HYPAC系统。为了验证该系统,10名大学生(5名跑步者,5名非跑步者)在配备GPS设备和便携式代谢测量系统的情况下完成了5公里的路程。将HYPAC系统的VO2估计值与实测值和ACSM方程计算值进行了比较。结果:HYPAC系统在估计VO2方面表现出很高的准确性,与实测值相比,相对误差为-0.03[95%置信区间(CI): -0.14, 0.08]。对于跑步组,HYPAC系统的绝对平均相对误差最低(0.02)。在混合跑/走组中,HYPAC系统保持了较强的性能,相对误差为-0.07 (95% CI: -0.26, 0.12)。讨论:HYPAC系统提供了一种透明和准确的方法来估计步行和跑步时的VO2,在各种条件下都优于现有的方法。它的开源框架鼓励研究人员和实践者进一步验证和改进。未来的研究应解决样本大小和人口多样性等限制,以提高系统的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Hata-Yanagiya physical activity calculation system: a novel global positioning system-based method for accurate estimation of oxygen consumption during walking and running.

Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO2) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO2 using Global Positioning System (GPS) and map data.

Methods: The HYPAC system was developed through regression equations based on metabolic equivalents (METs) and slope data. To validate the system, 10 university students (5 runners, 5 non-runners) completed a 5 km course while equipped with a GPS device and a portable metabolic measurement system. VO2 estimates from the HYPAC system were compared with measured values and those calculated using ACSM equations.

Results: The HYPAC system demonstrated high accuracy in estimating VO2, with a relative error of -0.03 [95% confidence intervals (CI): -0.14, 0.08] compared to measured values. For the running group, the HYPAC system achieved the lowest absolute mean relative error (0.02). In the mixed running/walking group, the HYPAC system maintained strong performance with a relative error of -0.07 (95% CI: -0.26, 0.12).

Discussion: The HYPAC system provides a transparent and accurate method for estimating VO2 during walking and running, outperforming existing methods under varied conditions. Its open-source framework encourages further validation and improvement by researchers and practitioners. Future studies should address limitations such as sample size and population diversity to enhance the system's applicability.

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来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
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